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Lanthanide atomic mass and chemical behaviour in solution influence their solubility and ecotoxicity for Daphnia magna: Implications for risk assessment of aquatic organisms 溶液中的镧系元素原子质量和化学性质影响其对大型蚤的溶解度和生态毒性:对水生生物风险评估的影响
Pub Date : 2024-07-03 DOI: 10.24072/pci.ecotoxenvchem.100143
Patrice Couture
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引用次数: 0
Food type influences dietary metal uptake and elimination in Gammarus fossarum 食物类型影响福寿螺的膳食金属吸收和排出
Pub Date : 2024-05-21 DOI: 10.24072/pci.ecotoxenvchem.100107
Patrice Couture
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引用次数: 0
Effects of AMPA on *Bufo spinosus* microbiota AMPA 对*Bufo spinosus* 微生物群的影响
Pub Date : 2024-05-02 DOI: 10.24072/pci.ecotoxenvchem.100176
Marie-Agnès Coutellec
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引用次数: 0
Low potential of arthropod species to aquire resistance to invermectin drug could induce a risk of extinction in contaminated pastures 节肢动物物种对伊维菌素药物产生抗药性的可能性较低,可能导致受污染牧场中的节肢动物面临灭绝的风险
Pub Date : 2024-03-04 DOI: 10.24072/pci.ecotoxenvchem.100106
Christian Mougin
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引用次数: 0
Noise impact in Daphnia magna 大水蚤的噪音影响
Pub Date : 2023-07-22 DOI: 10.24072/pci.ecotoxenvchem.100103
C. Cosio
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引用次数: 1
New features of DRomics workflow for improved analyze of dose-response omics data in ecotoxicology 改进生态毒理学中剂量-反应组学数据分析的DRomics工作流的新功能
Pub Date : 2023-07-22 DOI: 10.24072/pci.ecotoxenvchem.100105
Claudia Cosio
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引用次数: 1
An original approach for the identification of relevant pesticides mixtures at nationwide scale  为全国范围内相关农药混合物的鉴定提供了一种新颖的方法
Pub Date : 2023-03-24 DOI: 10.24072/pci.ecotoxenvchem.100102
P. Labadie
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引用次数: 0
New insights into eDNA sorption onto environmental carbonaceous materials 环境碳质材料对eDNA吸附的新认识
Pub Date : 2022-12-09 DOI: 10.24072/pci.ecotoxenvchem.100003
P. Labadie
Recommendation In recent years, the use of environmental DNA (eDNA) to investigate biodiversity has gained considerable interest (Thomsen and Willerslev, 2015; Mauvisseau et al., 2022). It allows for the indirect detection of species but it requires a sound understanding of eDNA behaviour and persistence in the environment. This is, however, a complex task because eDNA may be found in several states (e.g., dissolved, adsorbed, intracellular or intraorganellar), which display specific decay rates controlled by environmental factors (Harrisson et al., 2019; Mauvisseau et al. 2022). In the environment, dissolved DNA may interact with the surfaces of various sorbents, including mineral and organic particles/colloids. Current knowledge on eDNA sorption suggests that eDNA–sorbent interactions are controlled by electrostatics as well as inner-sphere complex formation (Mauvisseau et al., 2022).
近年来,利用环境DNA (environmental DNA, eDNA)来研究生物多样性获得了相当大的兴趣(Thomsen and Willerslev, 2015;Mauvisseau et al., 2022)。它允许对物种进行间接检测,但它需要对eDNA的行为和环境中的持久性有充分的了解。然而,这是一项复杂的任务,因为eDNA可能处于几种状态(例如,溶解、吸附、细胞内或细胞器内),这些状态显示出受环境因素控制的特定衰变速率(harrison等人,2019;Mauvisseau et al. 2022)。在环境中,溶解的DNA可能与各种吸附剂的表面相互作用,包括矿物和有机颗粒/胶体。目前对eDNA吸附的了解表明,eDNA与吸附剂的相互作用受静电以及球内复合物形成的控制(Mauvisseau et al., 2022)。
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引用次数: 0
A model-experiment loop to optimise data requirements for ecotoxicological risk assessment with mesocosms 一个模型-实验循环,以优化中生态系统生态毒理学风险评估的数据要求
Pub Date : 2022-11-30 DOI: 10.24072/pci.ecotoxenvchem.100002
V. Grimm
Recommendation In Ecotoxicology, the toxicity of chemicals is usually quantified for individuals under laboratory conditions, while in reality individuals interact with other individuals in populations and communities, and are exposed to conditions that vary in space and time. Microand mesocosm experiments are therefore used to increase the ecological realism of toxicological risk assessments. Such experiments are, however, labour-intensive, costly, and cannot, due to logistical reasons, implement all possible factors or interests (Henry et al. 2017). Moreover, as such experiments often include animals, the number of experiments performed has to be minimized to reduce animal testing as much as possible.
在生态毒理学中,化学品的毒性通常是在实验室条件下对个人进行量化的,而在现实中,个人在群体和社区中与其他个人相互作用,并暴露在空间和时间变化的条件下。因此,微观和中观实验被用于增加毒理学风险评估的生态现实性。然而,此类实验是劳动密集型的,成本高昂,并且由于后勤原因,无法实现所有可能的因素或利益(Henry等人,2017)。此外,由于这类实验通常包括动物,因此必须尽量减少实验的数量,以尽可能减少动物试验。
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引用次数: 0
Predicting characterization factors of chemical substances from a set of molecular descriptors based on machine learning algorithms 基于机器学习算法的一组分子描述符预测化学物质的表征因子
Pub Date : 2022-01-18 DOI: 10.24072/pci.ecotoxenvchem.100001
S. Charles
Today, thousands of chemical substances are released into the environment because of human activities. It is thus crucial to identify all relevant chemicals that contribute to toxic effects on living organisms, also potentially disturbing the community functioning and the ecosystem services that flow from them. Once identified, chemical substances need to be associated with ecotoxicity factors. Nevertheless, getting such factors usually requires time-, resourcesand animal-costly experiments that it should be possible to avoid. In this perspective, modelling approaches may be particularly helpful if they rely on easy-to-obtain information to be used as predictive variables.
今天,由于人类活动,成千上万的化学物质被释放到环境中。因此,至关重要的是确定所有对生物体产生毒性作用的相关化学品,这些化学品也可能干扰群落功能和由此产生的生态系统服务。一旦确定,化学物质需要与生态毒性因子联系起来。然而,获得这些因素通常需要时间、资源和动物实验,这些应该是可以避免的。从这个角度来看,如果建模方法依赖于易于获得的信息作为预测变量,那么它们可能特别有用。
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引用次数: 0
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Peer Community In Ecotoxicology and Environmental Chemistry
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